HRBP Lead
Company making EV adoption fast and reliable
3 - 5 yrs
₹8L - ₹12L / yr
Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
HRBP
Grievance
HR analytics
Human Resources (HR)
HR management
Your Role
- Should have worked on end to end talent management - hire to retire model Should be able to take us through the employee lifecycle process
- Should be good at interacting with people and should have done the following: Conduct review and appraisal cycle across teams
- Look after employees' growth
- who is ready for promotion, who needs to do something different within the organization, who are the high potentials
- How to measure performance
- Benchmarking compensation across companies
- Attrition planning
- Succession planning
- Driving Learning & Development across company
- Ensuring cultural homogeneity
- Employee engagement
- Performance Management and its process
- Compensation benchmarking
Onboarding & Induction - Should have done the following:
- Plan and execute staff welfare programs.
- Provide a presentation to new joiners about HR policies of the company.
- Discuss about future planning and expansion of company with employees
- Organize health awareness programs for employees.
- Take care of maintaining a good relationship between employee and employer.
Employee Grievance Handling: Should have been involved in the below:
- Prepare and maintain employee retention policy.
- Handle and resolve grievances of employees.
- Resolve problems between employee and employer regarding different issues eg: compensation, processes, policies, etc. Share instances of any difficult issue resolved.
HR Compliances & Organizational Development
Should have worked closely with other HR stakeholders for the following.
- Coordinate with HR Ops for registering new employees in EPF, ESI and medical benefits.
- Check and clear expense reports of employees with HR Ops
- Responsible for joining and exit interviews.
- Implementation of new policies according to the system.
- Alignment of staffing philosophy, strategies, and values with business goals. Maintain a record of all employees data- joiners, leavers Work with auditors for all HR Audit purposes.
Must Haves
- 3-5 Years of experience in HRBP Functions in a Startup company.
- Developing HR strategies, policies, and practices.
- Excellent communication skills.
- Being Data Oriented is a must.
- Analytical skills.
- Problem-solving skills.
- Proactive nature.
- Excellent interpersonal skills.
- Meticulous attention to details.
- Highly organized.
- Great people skills.
Why is this exciting to you?
- You are interested in being a part of a young and fast paced environment; to implement market best practice.
- You are keen to put in place strong processes, and systems, and this is a chance to work in a company which is not burdened by legacy systems.
- You realize that you are joining the team at an early stage, and can play a pivotal growth role as the company grows; you are excited to be early at the table.
- You care about people and your team members, and you want to influence positive change.
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Full Stack Developer - AverlonI had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort
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We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems.
This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production.
You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability.
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- Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows.
- Build scalable runtime environments for LLM orchestration frameworks.
- Enable deployment of AI copilots, assistants, and autonomous decision systems.
Common frameworks may include:
- LangChain
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LLMOps & AI Model Lifecycle
Design and manage LLMOps pipelines for the full lifecycle of large language models:
- Model deployment
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- Versioning
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- Model monitoring
Integrate with AI platforms such as:
- Azure Machine Learning
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Retrieval-Augmented Generation (RAG) Infrastructure
Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs.
Responsibilities include:
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Vector Database & Knowledge Infrastructure
Deploy and manage vector databases used for AI applications and semantic retrieval.
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Responsibilities include:
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Multi-Cloud AI Infrastructure
Design and maintain AI-ready infrastructure across:
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
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- GPU infrastructure management
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Data Platforms & Integration
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- Work with data engineering teams to ensure secure and scalable data infrastructure.
Cloud Architecture & Infrastructure
- Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud.
- Build hybrid cloud architectures integrating on-premise environments with cloud platforms.
- Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads.
DevOps, Platform Engineering & Automation
Build automated cloud infrastructure using modern DevOps practices.
Tools may include:
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- Kubernetes
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Responsibilities include:
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AI Observability & Monitoring
Implement observability frameworks to monitor AI systems in production.
This includes:
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Security, Governance & Responsible AI
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Data & Security
- Experience with data lake architectures, distributed storage, and ETL pipelines
- Knowledge of data security, encryption, IAM, and compliance frameworks
- Familiarity with AI governance and responsible AI practices
Required Skills
Cloud & Infrastructure
- Strong experience in Azure (must have), AWS or GCP
- Hybrid and multi-cloud architecture
- GPU infrastructure management
DevOps & Automation
- Kubernetes
- Docker
- Terraform
- CI/CD pipelines
AI / ML Platforms
- MLOps pipelines
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- Model monitoring
AI Application Infrastructure
- Vector databases
- RAG pipelines
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Programming
Experience in one or more languages:
- Python
- Go
- Java
- TypeScript
Preferred Qualifications
- Experience building AI copilots or autonomous agents
- Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training
- Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability
- Experience building enterprise AI platforms
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering
- Experience working in data-driven or AI-focused environments
What Success Looks Like
- Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms
- Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products
- Secure and scalable AI-ready cloud platforms
- Strong automation and governance across cloud and AI systems
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● Owner for all security documentation such as policies, standards, and
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● Identify potential areas of IT compliance vulnerability and risk; guide the
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JOB DESCRIPTION (JD)
The following obligatory points are a standard part of every JD and each employee regardless of his/her designation is fully obliged to fully understand and comply with the below:
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andheri, Mukundgarh, Nakur
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english typing speed
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Shubham Vishwakarma
Full Stack Developer - AverlonI had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort